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Anh Duc Le
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2020 – today
- 2023
- [j10]Quoc-Dung Nguyen, Nguyet-Minh Phan, Pavel Krömer, Anh Duc Le:
An Efficient Unsupervised Approach for OCR Error Correction of Vietnamese OCR Text. IEEE Access 11: 58406-58421 (2023) - 2022
- [c17]Anh Duc Le, Cristian Budianu, Melissa Elkadi, Bo Ryu:
Physical Layer Abstraction for LTE and 5G New Radio with Imbalance Receiver in EMANE. MILCOM 2022: 515-521 - [i7]Anh Duc Le:
Disaster Tweets Classification using BERT-Based Language Model. CoRR abs/2202.00795 (2022) - 2021
- [j9]Trung Thanh Nguyen, Anh Duc Le, Ha Thanh Hoang, Tuan Nguyen:
NEU-chatbot: Chatbot for admission of National Economics University. Comput. Educ. Artif. Intell. 2: 100036 (2021) - [j8]Anh Duc Le, Justin P. L. McGuinness, Edward Dixon:
ChunkedHCs algorithm for authorship verification problems: Reddit case study. Digit. Investig. 37 Supplement: 301185 (2021) - [c16]Nhan Thien Nguyen, Dang Minh Nguyen, Anh Duc Le, Tho Thanh Quan:
Recognizing modern Japanese magazines by combining Deep Learning with language models. KSE 2021: 1-6 - 2020
- [j7]Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa:
An End-to-End Recognition System for Unconstrained Vietnamese Handwriting. SN Comput. Sci. 1(1): 7:1-7:8 (2020) - [c15]Anh Duc Le:
Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions. CVPR Workshops 2020: 2413-2418 - [c14]Anh Duc Le:
Automated Transcription for Pre-modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Training. DAS 2020: 371-382 - [i6]Anh Duc Le:
Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning. CoRR abs/2005.02669 (2020)
2010 – 2019
- 2019
- [j6]Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto:
A Human-Inspired Recognition System for Pre-Modern Japanese Historical Documents. IEEE Access 7: 84163-84169 (2019) - [j5]Anh Duc Le, Hai Dai Nguyen, Bipin Indurkhya, Masaki Nakagawa:
Stroke order normalization for improving recognition of online handwritten mathematical expressions. Int. J. Document Anal. Recognit. 22(1): 29-39 (2019) - [j4]Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa:
Pattern generation strategies for improving recognition of Handwritten Mathematical Expressions. Pattern Recognit. Lett. 128: 255-262 (2019) - [c13]Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen:
Deep Learning Approach for Receipt Recognition. FDSE 2019: 705-712 - [c12]Anh Duc Le:
Detecting Kuzushiji Characters from Historical Documents by Two-Dimensional Context Box Proposal Network. FDSE 2019: 731-738 - [c11]Thanh Thi Xuan Lam, Anh Duc Le, Masaki Nakagawa:
User Interface for Text and Non-Text Classification. HDI@ICDAR 2019: 1-5 - [c10]Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly:
Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation. HIP@ICDAR 2019: 37-41 - [i5]Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa:
Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions. CoRR abs/1901.06763 (2019) - [i4]Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto:
A human-inspired recognition system for premodern Japanese historical documents. CoRR abs/1905.05377 (2019) - [i3]Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa:
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting. CoRR abs/1905.05381 (2019) - [i2]Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen:
Deep Learning Approach for Receipt Recognition. CoRR abs/1905.12817 (2019) - 2018
- [j3]Khanh Minh Phan, Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa:
Augmented incremental recognition of online handwritten mathematical expressions. Int. J. Document Anal. Recognit. 21(4): 253-268 (2018) - [c9]Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa:
Recognizing Unconstrained Vietnamese Handwriting By Attention Based Encoder Decoder Model. ACOMP 2018: 83-87 - [i1]Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu:
Outlier Detection using Generative Models with Theoretical Performance Guarantees. CoRR abs/1810.11335 (2018) - 2017
- [c8]Anh Duc Le, Masaki Nakagawa:
Speedup of Parsing for Recognition of Online Handwritten Mathematical Expressions. ICDAR 2017: 896-901 - [c7]Anh Duc Le, Masaki Nakagawa:
Training an End-to-End System for Handwritten Mathematical Expression Recognition by Generated Patterns. ICDAR 2017: 1056-1061 - 2016
- [j2]Hai Dai Nguyen, Anh Duc Le, Masaki Nakagawa:
Recognition of Online Handwritten Math Symbols Using Deep Neural Networks. IEICE Trans. Inf. Syst. 99-D(12): 3110-3118 (2016) - [j1]Anh Duc Le, Masaki Nakagawa:
A system for recognizing online handwritten mathematical expressions by using improved structural analysis. Int. J. Document Anal. Recognit. 19(4): 305-319 (2016) - [c6]Anh Duc Le, Hai Dai Nguyen, Masaki Nakagawa:
Modified X-Y Cut for Re-Ordering Strokes of Online Handwritten Mathematical Expressions. DAS 2016: 233-238 - [c5]Khanh Minh Phan, Anh Duc Le, Masaki Nakagawa:
Semi-incremental Recognition of Online Handwritten Mathematical Expressions. ICFHR 2016: 258-264 - [c4]Anh Duc Le, Masaki Nakagawa:
Comparison of Parsing Algorithms for Recognizing Online Handwritten Mathematical Expressions. ICFHR 2016: 390-394 - 2015
- [c3]Hai Dai Nguyen, Anh Duc Le, Masaki Nakagawa:
Deep neural networks for recognizing online handwritten mathematical symbols. ACPR 2015: 121-125 - [c2]Khanh Minh Phan, Cuong Tuan Nguyen, Anh Duc Le, Masaki Nakagawa:
An incremental recognition method for online handwritten mathematical expressions. ACPR 2015: 171-175 - 2014
- [c1]Anh Duc Le, Truyen Van Phan, Masaki Nakagawa:
A System for Recognizing Online Handwritten Mathematical Expressions and Improvement of Structure Analysis. Document Analysis Systems 2014: 51-55
Coauthor Index
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